Are Reasoning Models More Prone to Hallucination?

29 May 2025

Papers citing "Are Reasoning Models More Prone to Hallucination?"

7 / 7 papers shown

Title
Qwen3 Technical Report An Yang A. Li Baosong Yang Beichen Zhang Binyuan Hui ... Zekun Wang Zeyu Cui Zhenru Zhang Zhenhong Zhou Zihan Qiu LLMAG OSLM LRM 111 99 0 14 May 2025
MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining Xiaomi LLM-Core Team Bingquan Xia Bo Shen Cici Dawei Zhu ... Yun Wang Yue Yu Zhenru Lin Zhichao Song Zihao Yue MoE ReLM LRM AI4CE 169 7 0 12 May 2025
DAPO: An Open-Source LLM Reinforcement Learning System at Scale Qiying Yu Zheng Zhang Ruofei Zhu Yufeng Yuan Xiaochen Zuo ... Ya Zhang Lin Yan Mu Qiao Yonghui Wu Mingxuan Wang OffRL LRM 234 217 0 18 Mar 2025
LIMO: Less is More for Reasoning Yixin Ye Zhen Huang Yang Xiao Ethan Chern Shijie Xia Pengfei Liu LRM 168 166 0 05 Feb 2025
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning DeepSeek-AI Daya Guo Dejian Yang Haowei Zhang Junxiao Song ... Shiyu Wang S. Yu Shunfeng Zhou Shuting Pan S.S. Li ReLM VLM OffRL AI4TS LRM 384 2,022 0 22 Jan 2025
T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling Zhenyu Hou Xin Lv Rui Lu Jing Zhang Yongqian Li Zijun Yao Juanzi Li J. Tang Yuxiao Dong OffRL LRM ReLM 148 33 0 20 Jan 2025
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning Yun Luo Zhen Yang Fandong Meng Yafu Li Jie Zhou Yue Zhang CLL KELM 201 319 0 17 Aug 2023